From Information Overload to Actionable Intelligence: Navigating Big Data Challenges

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Publication Information

Journal Title: Asian Journal of Multidisciplinary Research & Review
Author(s): Mason Scott & Abigail Reed
Published On: 31/08/2022
Volume: 3
Issue: 4
First Page: 185
Last Page: 193
ISSN: 2582-8088
Publisher: The Law Brigade Publisher

Cite this Article

Mason Scott & Abigail Reed, From Information Overload to Actionable Intelligence: Navigating Big Data Challenges, Volume 3 Issue 4, Asian Journal of Multidisciplinary Research & Review, 185-193, Published on 31/08/2022, Available at https://ajmrr.thelawbrigade.com/article/from-information-overload-to-actionable-intelligence-navigating-big-data-challenges/

Abstract

In an era characterized by an unprecedented deluge of data, organizations face the daunting task of transitioning from information overload to actionable intelligence. This research paper investigates the multifaceted challenges inherent in the realm of Big Data and explores strategies for transforming vast datasets into meaningful insights that drive informed decision-making. The paper begins by delineating the landscape of information overload, elucidating the complexities arising from the volume, velocity, and variety of data. It highlights the hurdles posed by disparate data sources, unstructured formats, and the need for scalable infrastructure to process and analyze data in real-time. The paper also addresses ethical considerations associated with Big Data, emphasizing the need for responsible data governance, privacy protection, and transparency in the era of heightened data awareness. By understanding and overcoming these challenges, businesses can unlock the true potential of their data, transforming it into actionable intelligence that shapes strategic decisions and propels innovation in an ever-evolving digital landscape.

Keywords: Information Overload, Actionable Intelligence, Big Data Challenges, Data Deluge, Scalable Infrastructure, Advanced Analytics, Machine Learning, Artificial Intelligence, Real-time Data Processing, Unstructured Data, Data Sources

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Mason Scott & Abigail Reed

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